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In this paper, wavelet transform is proposed to remove noise from the earthquake signal. With the use of HAAR and DB wavelet transform the magnitude of the signals were determined. The Daubechies wavelets, based on the work of Ingrid Daubechies, are a family of orthogonal wavelets defining a discrete wavelet transform and characterized by a maximal number of vanishing moments for some given support. With each wavelet type of this class, there is a scaling function (called the father wavelet) which generates an orthogonal multiresolution analysis. We have proposed four different noise removing techniques such as Rigrsure, Sqtwolog, Minimax, Heursure for removing noise in earthquake signal.
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"WAVELET TRANSFORM BASED DENOISING TECHNIQUES FOR EARTHQUAKE SIGNALS ", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.7, Issue 6, page no.483 - 489, June-2022, Available :http://www.ijrti.org/papers/IJRTI2206082.pdf
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2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator